1 code implementation • 26 Jan 2024 • Yifeng Liu, Hanwen Xu, Tangqi Fang, Haocheng Xi, Zixuan Liu, Sheng Zhang, Hoifung Poon, Sheng Wang
As a fundamental task in computational chemistry, retrosynthesis prediction aims to identify a set of reactants to synthesize a target molecule.
1 code implementation • 16 Nov 2022 • Wei Tang, Benfeng Xu, Yuyue Zhao, Zhendong Mao, Yifeng Liu, Yong Liao, Haiyong Xie
Relational triple extraction is challenging for its difficulty in capturing rich correlations between entities and relations.
Ranked #1 on Relation Extraction on WebNLG
no code implementations • 20 Oct 2022 • Xian Qian, Kai Hu, Jiaqiang Wang, Yifeng Liu, Xingyuan Pan, Jun Cao, Mingxuan Wang
This report describes our VolcTrans system for the WMT22 shared task on large-scale multilingual machine translation.
no code implementations • 8 Dec 2021 • Zhenxin Wu, Qingliang Chen, Yifeng Liu, Yinqi Zhang, Chengkai Zhu, Yang Yu
Finally, using the progressive training (P), the features extracted by the model in different stages can be fully utilized and fused with each other.
no code implementations • 12 Mar 2021 • Binghan Li, Yindong Hua, Yifeng Liu, Mi Lu
It also reduces the amount of parameters significantly by replacing the fully connected layers with the fully convolutional layers.
1 code implementation • IEEE Transactions on Geoscience and Remote Sensing 2021 • Zhaohui Xue, Mengxue Zhang, Yifeng Liu, Peijun Du
On the other hand, the optimization of complex hyperparameters (e. g., the layer number and convolutional kernel size) is time-consuming and a very tough task, making the designed DL framework unexplainable.
Ranked #1 on Hyperspectral Image Classification on Houston (using extra training data)